Gainare Tottori vs YSCC: result 2-1 and analysis
J3 LeagueRegular Season - 23Kick-off on September 25, 2016 at 04:00 AM (UTC)Axis Bird Stadium, Tottori
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What was the result of Gainare Tottori vs YSCC?
Gainare Tottori won 2-1 on September 25, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Gainare Tottori have 4 wins, 2 draws and 9 defeats; YSCC have 3, 2 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 18, 2016 | Fujieda MYFC(away) | 5-2 | J3 League |
| Sep 11, 2016 | Kagoshima United(away) | 0-2 | J3 League |
| Sep 7, 2016 | Omiya Ardija(away) | 0-1 | Emperor Cup |
| Aug 27, 2016 | Fagiano Okayama II(home) | 5-0 | Emperor Cup |
| Aug 13, 2016 | Kataller Toyama(away) | 1-4 | J3 League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 17, 2016 | Kataller Toyama(home) | 3-4 | J3 League |
| Sep 10, 2016 | Blaublitz Akita(away) | 0-3 | J3 League |
| Aug 7, 2016 | Sagamihara(home) | 1-1 | J3 League |
| Jul 31, 2016 | Kagoshima United(away) | 0-4 | J3 League |
| Jul 23, 2016 | Grulla Morioka(home) | 0-0 | J3 League |
What does the head-to-head say?
Across the last 1 meetings: 1 Gainare Tottori win(s), 0 draw(s), 0 YSCC win(s).
| Date | Score | Competition |
|---|---|---|
| May 15, 2016 | YSCC 0-1 Gainare Tottori | J3 League |
Last archived meeting: YSCC vs Gainare Tottori on May 15, 2016
How many goals should we expect?
Gainare Tottori score 1.3 and concede 1.9 goals per match over their last 15; YSCC score 0.5 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Gainare Tottori | 1.3 | 1.9 | 3 | 5/15 | 8/15 |
| YSCC | 0.5 | 1.7 | 4 | 2/15 | 5/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | Gainare Tottori | 3 | 1 | 1 | 1 | 3 | 6 | 4 |
How does Footlab compute this prediction?
The model combines both teams' Elo ratings (anchored by competition pool), their recent form weighted by opponent strength, home advantage and a Poisson matrix for scorelines. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy